Evidence map›Paper›PMID 24014456›Full record

ReviewWiley interdisciplinary reviews. Developmental biology

Regulation of developmental processes: insights from mass spectrometry-based proteomics.

Alexey Veraksa

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Developmental biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Minibrain and Wings apart control organ growth and tissue patterning through down-regulation of Capicua.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Alexey VeraksaDepartment of Biology, University of Massachusetts Boston, Boston, MA, USA. alexey.veraksa@umb.edu.
University of Massachusetts Boston · US

Funding

UMass Boston-DF/HCC U54 Partnership (2 of 2)U54CA156734 · NCI · UNIVERSITY OF MASSACHUSETTS BOSTON · PI ADAN COLON-CARMONA, Jill A. Macoska · 2010 to 2026
$24.9M
Regulation of developmental signaling by beta-arrestinR15GM097727 · NIGMS · UNIVERSITY OF MASSACHUSETTS BOSTON · PI VERAKSA, ALEXEY · 2011 to 2011
$290k
NCI NIH HHS CA156734NCI NIH HHS U54 CA156734NIGMS NIH HHS GM097727NIGMS NIH HHS R15 GM097727
6 · The paper itself

Abstract

Mass spectrometry (MS)-based proteomics has become an indispensable tool for protein identification and quantification. In this paper, common MS workflows are described, with an emphasis on applications of MS-based proteomics in developmental biology. Progress has been made in the analysis of proteome changes during tissue differentiation and in various genetic perturbations. MS-based proteomics has been particularly useful for identifying novel protein interactions by affinity purification-mass spectrometry (AP-MS), many of which have been subsequently functionally validated and led to the discovery of previously unknown modes of developmental regulation. Quantitative proteomics approaches can be used to study posttranslational modifications (PTMs) of proteins such as phosphorylation, to reveal the dynamics of intracellular signal transduction. Integrative approaches combine quantitative MS-based proteomics with other high-throughput methods, with the promise of a systems level understanding of developmental regulation.

Indexed as

Gene Expression Regulation, DevelopmentalMass SpectrometryProtein Processing, Post-TranslationalAnimalsDevelopmental BiologyHumansProteomeProteomicsProteome

Identifiers

PMID24014456
PMCPMC3767925
OpenAlexW2098634870

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.